As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.

Required Senior Backend Engineer- Routing Data
Tel Aviv
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidocs Imaging Platform.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple systems and teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with engineering and product leadership to define how our platform evolves - ensuring scalability, reliability, and performance as we grow.
Youll partner with senior engineers across domains to establish technical standards, solve high-impact problems, and align the organization around key architectural principles.
This role combines strategic architectural ownership with active technical contribution - you will stay close to the systems and code, ensuring architecture and reality evolve together.
Responsibilities:
Lead company-wide or cross-team technical initiatives, ensuring architectural alignment across multiple product areas.
Define and drive long-term technical strategy for the Imaging Platform in collaboration with engineering leadership.
Provide architectural guidance, conduct design reviews, and mentor senior and staff engineers.
Lead and formalize engineering best practices around performance, reliability, and observability.
Contribute hands-on to architectural spikes and first-of-a-kind implementations where deep expertise is required.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.
Represent the group in company-wide architecture discussions and technical forums

As a Backend Software Engineering, your job responsibilities will include:
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer, you will be tasked with owning the architecture of our company's self-hosted (on-prem) Endpoint Protection platform across multiple teams - a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we don't operate ourselves, while influencing the engineering roadmap for the product line. In this role, you will act as a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion.
What Will You Do?
Primary responsibilities include:
Own and evolve the architecture of the self-hosted platform across multiple teams - backend services, data pipelines, control logic, and the deployment topology shipped to customers (containerized microservices on bare metal, delivered as an appliance/OVA) - and implement improvements to existing architecture.
Set the standard for high availability and resilience in customer-controlled deployments: clustering, replication, failover, consensus/leader election, and graceful degradation across single-node and multi-node topologies, and drive infrastructure cost analysis and optimization.
Define scalability and capacity-planning strategies that hold across a wide range of customer scale and hardware, and establish frameworks for performance, observability, and operational excellence in constrained and air-gapped environments.
Lead the translation of SaaS/cloud-native capabilities into on-prem architecture, refine vaguely specified complex requirements into robust, future-proof end-to-end designs, and define coding patterns and standards that span multiple teams.
Influence the engineering roadmap, drive medium-to-large initiatives that span teams, mentor staff and senior engineers, and act as a cross-team technical authority sought out to review the work of others.

we are looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.

You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.
What you'll be doing:

Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.

As a Senior Platform Engineer (Backend), you will play a key role in shaping the core infrastructure and architecture of our platform. You will be deeply involved in hands-on development, contribute to technical design, and help drive engineering excellence. In this role, you will collaborate with other engineers, share best practices, and take part in building scalable, high-quality backend systems.

Your responsibilities
Design, develop, and test cloud-native microservices and backend components with high standards of scalability, reliability, and security.
Own key areas of the platform's infrastructure and contribute to the architecture of enterprise-grade systems.
Collaborate with engineering and product teams to translate business needs into robust technical solutions.
Work across a modern tech stack including cloud services, Linux, Docker, Kubernetes, and CI/CD pipelines.
Drive best practices in code quality, system design, observability (logs, metrics, tracing), and testing.
Stay up to date with emerging technologies and help evaluate tools that support platform evolution.
Share knowledge through code reviews and technical discussions, fostering a culture of continuous improvement.

Are you a results-driven backend or full-stack engineer passionate about building scalable, cloud-native microservices? Do you thrive in an agile, startup-like environment while having the backing of a market leader? At our company, you wont just be a coder; you'll be an architect of innovation, shaping the future of identity security.
Our engineering team is the core of our success. We build high-quality, professional-grade products on a mature, event-driven microservices architecture hosted in AWS. We're now seeking a Senior Backend Software Engineer to be a foundational member of a new team building a cutting-edge, cloud-based SaaS identity analytics product from the ground up.
Your Mission: The First 12 Months

First 3 Months: You will be fully integrated into our agile team, actively contributing to the design and development of core microservices for our new SaaS product. You will have a comprehensive understanding of the product architecture and roadmap, and you'll be writing high-quality, test-covered code in Go.

First 6 Months: You will take ownership of significant features, from design and estimation to implementation and deployment. You'll be expected to contribute to our continuous delivery pipeline and improve code quality by producing unit and end-to-end tests, aiming to increase code coverage by 15-20%.

First 12 Months: You will be a key contributor to the product's evolution, mentoring junior engineers and collaborating with product management to define and implement new features. You will have made a measurable impact on the product's performance and scalability, and you'll be a go-to expert for critical components of the system.

What You'll Do

Design, develop, and deploy backend microservices in Go. Success will be measured by the delivery of well-tested, scalable, and maintainable code that meets product requirements and is deployed to production in a timely manner.

Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows. Success will be measured by improvements in productivity, scalability, and operational efficiency. You will achieve this by leveraging AI tools to generate initial configuration drafts, validate infrastructure code, and recommend workflow improvements, while utilizing AI-driven automation to reduce repetitive manual tasks and accelerate engineering execution without sacrificing high-quality standards.

Collaborate on designs, code reviews, and testing. Success will be measured by your active participation in team meetings, providing constructive feedback on peer code reviews, and contributing to a collaborative and positive team environment.

Produce unit and end-to-end tests. Success will be measured by your consistent contributions to our test suites, with a focus on increasing code coverage and improving the overall quality and reliability of the product.

Create and refine design and engineering best practices. Success will be measured by tangible improvements to our development processes and documentation, leading to increased team efficiency and code quality.